artan (homepage)

Kalman & Bayesian filtering with Spark

@ozancicek / (1)

Model-parallel bayesian filtering with Apache Spark. This library allows you to define model-parallel kalman & bayesian filters by leveraging arbitrary stateful transformation capabilities of Spark Dataframes. Supports both structured streaming and batch processing mode. Suitable for latent state estimation of many similar small scale systems


  • 1|streaming
  • 1|machine learning
  • 1|pyspark

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages com.github.ozancicek:artan_2.11:0.1.0


In your sbt build file, add:

libraryDependencies += "com.github.ozancicek" % "artan_2.11" % "0.1.0"


In your pom.xml, add:
  <!-- list of dependencies -->


Version: 0.1.0 ( 19728f | zip | jar ) / Date: 2020-03-22 / License: Apache-2.0 / Scala version: 2.11